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Jefferson Lab’s Experimental Physics Software and Computing Infrastructure (EPSCI) group develops centralized computing software that can be shared by any of the lab’s experimental halls and used for future projects. 

This year, the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility celebrates the 40th anniversary of its founding to probe the secrets of the subatomic universe. And for 39 of those years, esteemed physicist Volker D. Burkert has been an important part of its mission. Now, Burkert is being honored for his contributions to advancements in experimental physics with the prestigious Tom W. Bonner Prize in Nuclear Physics. The citation reads: “For exemplary leadership in the development of high-performance instrumentation for large acceptance spectrometers that have enabled breakthroughs in fundamental nuclear physics through electroproduction measurements of exclusive processes."

 Radiation therapy techniques have been used for more than a century to treat cancers. Physicists in the Radiation Detector and Imaging group and associated with the Biomedical Research & Innovation Center (BRIC) at Jefferson Lab are launching a study into how best to advance safer types of radiation therapy. BRIC scientists plan to evaluate the ability of accelerator-based proton therapy to replace radioactive isotope-derived treatments.

Four Jefferson Lab staff members have been named 2024 American Physical Society Fellows.

The U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility announced today that Kate Petersen Mace has been named the project director for the High Performance Data Facility (HPDF) a first-of-its-kind project that will provide resources for data-intensive science.

The test represented the culmination of nearly three years of collaboration between Jefferson Lab and ESnet to develop a novel networking hardware prototype that can connect scientific instruments to computing clusters over a wide-area network such as ESnet’s in real time. The EJFAT device uses traffic-shaping and load-balancing field programmable gate arrays that are designed to allow data from multiple types of scientific instruments to be streamed and processed in real time (or near real time) by multiple high-performance computing facilities.

Deep inside what we perceive as solid matter, the landscape is anything but stationary. The interior of the building blocks of the atom’s nucleus — particles called hadrons that most of us would recognize as protons and neutrons — are made up of a seething mixture of interacting quarks and gluons, known collectively as partons. The HadStruc collaboration has now come together to map out these partons and disentangle how they interact to form hadrons. Their latest findings were recently published in the Journal of High Energy Physics.

Scientists from Jefferson Lab, Old Dominion University and the University of Virginia recently conducted a study that compares deep learning models of street-scale flooding in the City of Norfolk with previous machine learning and physics-based simulations. Their peer-reviewed work uses data from roughly 17,000 street segments covering 400-plus miles of roadway to weigh the strengths and weaknesses of surrogate models. The research was carried out as part of the Joint Institute on Advanced Computing for Environmental Studies, a unique partnership between the lab and ODU.

2024 JSA Postdoctoral Prize Winner Debaditya Biswas will combine different particle identification methods with machine learning to detect muons hidden in a sea of pions.

This article features Jefferson Lab's SRF Operations Department’s cryomodule assembly technicians, a team of master craftsmen who build, test and install cryomodules in particle accelerators. Their work enables scientific discoveries at Jefferson Lab and beyond.